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Competitor comparison

Hex vs Snowflake CoWork

Hex is a collaborative SQL and Python notebook where analysts build and publish data apps, while Snowflake CoWork is a chat agent where business users ask questions of Snowflake data in plain language.

Quick decision snapshot

Pick Hex if analysts and data scientists do the work and you want them in SQL and Python notebooks with AI help, then publishing apps for everyone else. Pick Snowflake CoWork if you want business users asking questions in natural language inside Snowflake, and your data team will curate the semantic views and agents that make those answers dependable. On BI Bench, Snowflake CoWork edged Hex on accuracy (81.1% vs 80.6%) and answered far faster.

Two ways a Snowflake data team ships analysis

Hex and CoWork land on the same shortlist when a data team on Snowflake decides how the rest of the company should get answers. One option keeps analysts at the center: they explore in Hex, then publish an app or narrative for stakeholders. The other moves the first draft of the SQL to an agent: a business user asks CoWork a question and gets an answer traced back to its query. Both can end in something shareable, either a Hex app or a saved CoWork chart, shared conversation, or scheduled report.

Hex is one of the best notebooks available for this work. SQL and Python cells sit side by side, Hex Magic drafts code and charts, and projects can be scheduled and shared. It is built for analysts who treat analysis as engineering and want room to experiment. Its newer semantic context features help keep AI output consistent.

Where CoWork fits a Snowflake-only team

CoWork appeals to teams that want the AI to stay inside Snowflake. Its agents use Cortex Analyst to read business definitions from semantic views and write SQL that a reviewer can trace, executed under existing Snowflake roles and row-level security. Cortex Search handles documents, and CoWork is the chat front end on the web and iOS. There is no second tool to secure or connect.

The catch is the modeling. CoWork's answers on structured data are only as good as the semantic views and agents the data team sets up. It is also a chat app rather than a notebook, so analysts who want to write and iterate on their own SQL and Python cells still need a tool like Hex.

How they placed on BI Bench

On BI Bench, Snowflake CoWork placed third with 81.1% accuracy at 55.5 seconds per answer. Hex placed fourth with 80.6% accuracy but averaged 198.2 seconds. Each product ran on its default experience.

Notebook versus warehouse chat

CriterionHexSnowflake CoWork
Who asks the questionAnalysts and data scientists, in notebook cellsBusiness users, in the CoWork app on the web or iOS
LanguagesSQL and Python together, with Hex Magic assistingWrites SQL, and can run Python in a sandbox
What gets publishedHex apps, scheduled notebooks, and shared narrativesSaved charts, shared conversations, scheduled email reports, and generated documents
BI Bench on defaults4th: 80.6% accuracy, 198.2s average3rd: 81.1% accuracy, 55.5s average
Context for the AIProject context plus optional semantic modelingSemantic views and agents the data team sets up
Data reachWarehouses and databases across the major cloudsSnowflake only
Main overheadTeaching non-technical readers to use notebook outputsWriting and maintaining semantic views

Hex suits teams that

Do most analysis in SQL and Python and want one collaborative place for it.

Publish exploratory apps and write-ups for stakeholders rather than chat answers.

Care more about getting the answer right than getting it in under a minute.

CoWork suits teams that

Want natural-language questions answered without data leaving Snowflake.

Want a question to turn into a recurring emailed report or a written document.

Can dedicate data-team time to semantic views and verified answers.

For stakeholders who will never open a notebook

Hex leaves a gap for non-technical readers, and CoWork is not a dashboard tool. Basedash fills both gaps for business users: they type the chart they want in ordinary language, inspect the query behind it, and the result becomes a dashboard, a scheduled report, or a Slack answer. Its BI Bench result, 95.8% correct in an average of 20.9 seconds, beat Hex on speed and CoWork on accuracy.

Keep Hex for analysts who need Python and deep exploratory work; Basedash is not a notebook. Keep CoWork if you deliberately want a Snowflake-only agent that your data team configures.

Also compare each against Basedash

FAQ

Can Hex and Snowflake CoWork be used together?

Yes, and the split is natural. Analysts can keep exploring and publishing in Hex, since it connects to Snowflake like other warehouses, while business users ask simpler questions in CoWork. The main coordination cost is definitions: CoWork's agents read metrics from semantic views, while Hex work relies on its own project context, so the same metric can drift unless one team owns both.

How did Hex and Snowflake CoWork compare on BI Bench?

On BI Bench, Snowflake CoWork scored 81.1% at an average of 55.5 seconds, while Hex scored 80.6% at 198.2 seconds. The benchmark runs each product's default experience against the same complex schema and reports outcomes rather than causes. With accuracy this close, the practical differences are speed and workflow: notebooks and apps in Hex, or questions answered inside Snowflake.

Is a Hex app or Snowflake CoWork better for sharing analysis?

It depends on who builds it. A Hex app is published from the notebook an analyst already worked in, so the analysis and the app share one artifact. In CoWork, a business user saves charts and tables, shares a conversation as a snapshot, or turns a question into a scheduled email report, with queries running inside Snowflake. Teams with strong analysts lean to Hex; teams that want business users to self-serve inside Snowflake lean to CoWork.

When should a team consider Basedash over Hex or CoWork?

When the people who need answers are in product, sales, ops, or finance rather than the data team. Basedash builds dashboards and recurring reports from requests written in plain language, shows the SQL for checking, works with Snowflake and other sources, and topped BI Bench at 95.8% with a 20.9-second mean. Analysts who want a Python notebook should stay in Hex alongside it.

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